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RStudio. RStudio IDE (or RStudio) is an integrated development environment for R, a programming language for statistical computing and graphics. It is available in two formats: RStudio Desktop is a regular desktop application while RStudio Server runs on a remote server and allows accessing RStudio using a web browser.
The other is designed to accommodate the server computations and plot generating code, for which all the built-in facilities of R are available. [3] Hosting a Shiny app on an RStudio server is free up to certain limits but paid tiers are relatively expensive compared to hosting on other cloud computing platforms. [3] [8]
Anaconda is a distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. The distribution includes data-science packages suitable for Windows, Linux, and macOS.
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R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics, and data analysis. [9] The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data. R software is open-source and free software.
posit.co. Posit PBC (or Posit) is an open-source data science software company. It is a public-benefit corporation [1] founded by J. J. Allaire, [2] creator of the programming language ColdFusion. Posit has no formal connection to the R Foundation, a not-for-profit organization located in Vienna, Austria, [3] which is responsible for overseeing ...
An integrated development environment (IDE) is a software application that provides comprehensive facilities for software development. An IDE normally consists of at least a source-code editor, build automation tools, and a debugger. Some IDEs, such as IntelliJ IDEA, Eclipse and Lazarus contain the necessary compiler, interpreter or both ...
jamovi is an open source graphical user interface for the R programming language. [4] It is used in statistical research, especially as a tool for ANOVA (analysis of variance) and to understand statistical inference. [5][6] It also can be used for linear regression, [7] mixed models and Bayesian models. [8]